96 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"St" positions in France
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
(supercomputer/cloud/edge) infrastructures. Developed by the KerData research team in the context of the STEEL project of the national PEPR CLOUD program, E2Clab (https://team.inria.fr/kerdata/e2clab/ ) is a
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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of this project, you will have developed deep networks in both the quantum and healthcare industries to ideally position yourself for the transition to your next role. The Quantum Program Manager position offers
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Full-time Offer Starting Date 1 Jan 2027 Is the job funded through the EU Research Framework Programme? Horizon Europe – COFUND Reference Number 101261787 Marie Curie Grant Agreement Number 101261787 Is
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seminars - Strong organizational and collaborative skills - Good academic proficiency in English (C1) - Expertise in quantum computing is a plus Website for additional job details https://emploi.cnrs.fr
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computational reconstruction methods based on AI (deep learning) and/or compressed sensing. The envisioned imaging system will be based on a hybrid open-top light sheet microscope recently implemented in our lab
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generalizations—combining methods rooted in statistical physics and theoretical computer science. The research work can be more centred on analytical approaches or numerical experiments depending on the profile